Publications by authors named "Chase Webb"

Large library docking of tangible molecules has revealed potent ligands across many targets. While make-on-demand libraries now exceed 75 billion enumerated molecules, their synthetic routes are dominated by a few reaction types, reducing diversity and inevitably leaving many interesting bioactive-like chemotypes unexplored. Here, we investigate the large-scale enumeration and targeted docking of isoquinuclidines.

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Because nonopioid analgesics are much sought after, we computationally docked more than 301 million virtual molecules against a validated pain target, the α-adrenergic receptor (αAR), seeking new αAR agonists chemotypes that lack the sedation conferred by known αAR drugs, such as dexmedetomidine. We identified 17 ligands with potencies as low as 12 nanomolar, many with partial agonism and preferential G and G signaling. Experimental structures of αAR complexed with two of these agonists confirmed the docking predictions and templated further optimization.

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Article Synopsis
  • The study focuses on the σ receptor, which is significant in areas like cancer imaging and pain management, exploring its structure with the compounds roluperidone and PB28.
  • Researchers conducted a comprehensive docking screen of 490 million virtual molecules, synthesizing and testing 484 compounds to identify 127 new chemotypes with promising affinities.
  • The study demonstrates the potential of structure-based screening to rapidly discover new ligands that could help investigate the role of the σ receptor in pain, with promising results in a mouse model for neuropathic pain.
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Structure-based docking screens of large compound libraries have become common in early drug and probe discovery. As computer efficiency has improved and compound libraries have grown, the ability to screen hundreds of millions, and even billions, of compounds has become feasible for modest-sized computer clusters. This allows the rapid and cost-effective exploration and categorization of vast chemical space into a subset enriched with potential hits for a given target.

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The emergence of resistance to frontline antibiotics has called for novel strategies to combat serious pathogenic infections. Methicillin-resistant [MRSA] is one such pathogen. As opposed to traditional antibiotics, bacteriostatic anti-virulent agents disarm MRSA, without exerting pressure, that cause resistance.

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